Axonal Loss Quantification
Axonal Loss Quantification - Related Videos
07:06
Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR
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Cited by 1 •
2026
This study presents a robust method to isolate axonal mRNAs using porous membrane inserts, enabling total neuron vs. neurite separation and RNA purification. Combined with RTddPCR, the approach allows absolute quantification of low-copy transcripts, facilitating studies of mRNA transport and local translation with high sensitivity, reproducibility, and broad experimental applicability.
02:23
Imaging and Quantification of Axonal Regeneration in Axotomized Rat Retinal Ganglion Neurons
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2025
Source: Portela-Lomba, M., et. al. Coculture of Axotomized Rat Retinal Ganglion Neurons with Olfactory Ensheathing Glia, as an In Vitro Model of Adult Axonal Regeneration. J. Vis. Exp. (2020).This video demonstrates imaging and quantification of axonal regeneration in axotomized rat retinal ganglion neurons (RGNs) co-cultured with immortalized human olfactory ensheathing glia cells. RGNs are immunolabeled, with red somas and green axons. Images were captured using an epifluorescence microscope,...
08:56
Visualization of Motor Axon Navigation and Quantification of Axon Arborization In Mouse Embryos Using Light Sheet Fluorescence Microscopy
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Cited by 4 •
2018
Here, we describe a protocol for visualizing motor neuron projection and axon arborization in transgenic Hb9::GFP mouse embryos. After immunostaining for motor neurons, we used light sheet fluorescence microscopy to image embryos for subsequent quantitative analysis. This protocol is applicable to other neuron navigation processes in the central nervous system.
01:10
Line Loss
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2024
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss. Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
12:27
Piping Networks and Pressure Losses
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2023
Source: Alexander S Rattner, Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA This experiment introduces the measurement and modeling of pressure losses in piping networks and internal flow systems. In such systems, frictional flow resistance from channel walls, fittings, and obstructions causes mechanical energy in the form of fluid pressure to be converted to heat. Engineering analyses are needed to size flow hardware to ensure...
FAQs
The choice of outcome determines what aspect of neural injury is captured. Axon number and density describe how many axons are present within a measured region, whereas axonal area and continuity capture structural extent or preservation. Selecting among these readouts allows investigators to match quantification with the tissue or neural pathway being studied.
Microscopy, tissue labeling, imaging, and neural-pathway analysis provide different ways to convert axonal structure or signal into numerical outcomes. Depending on the study design, investigators may measure axon number, density, area, or continuity. These approaches make structural changes sufficiently measurable for comparisons across tissue samples, disease stages, patients, or interventions.
Axonal continuity adds information about whether neural structures remain preserved along a pathway, rather than only indicating how many axons occupy a region. Measuring continuity can therefore complement counts, density, or area when characterizing structural injury. This is relevant when investigators need to relate the integrity of neural pathways to changes in neurological function.
A typical workflow begins by selecting the relevant nervous-system tissue or neural pathway and then applying an appropriate microscopy, labeling, imaging, or pathway-analysis approach. The resulting structural or signal information is converted into measurements such as number, density, area, or continuity. Those values can then be compared among patients, disease stages, or treatments.
In medicine, the measurements can help characterize peripheral neuropathy, multiple sclerosis, traumatic nerve injury, and neurodegeneration. Their value lies in providing an objective structural indicator that can be examined across disease stages or patient groups. This supports assessment of how extensively neural tissue is affected and whether structural damage accompanies functional decline.
Axonal measurements provide outcomes that can be compared before or across therapeutic interventions, when the study design includes relevant patient groups, disease stages, or treatment conditions. Changes in axon number, density, area, or continuity may help indicate differences in structural damage. Linking those findings with functional decline can strengthen interpretation of treatment effects.